Search Results - "Meng, Jiana"

Deep Transfer Learning for Modality Classification of Medical Images by Yu, Yuhai, Lin, Hongfei, Meng, Jiana, Wei, Xiaocong, Guo, Hai, Zhao, Zhehuan

“…Medical images are valuable for clinical diagnosis and decision making. Image modality is an important primary step, as it is capable of aiding clinicians to…”
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Visual and Textual Sentiment Analysis of a Microblog Using Deep Convolutional Neural Networks by Yu, Yuhai, Lin, Hongfei, Meng, Jiana, Zhao, Zhehuan

“…Sentiment analysis of online social media has attracted significant interest recently. Many studies have been performed, but most existing methods focus on…”
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Recurrent Event Networks Based on Subgraph and Attention Enhancement by Liu, Hongxi, Meng, Jiana, Sun, Shichang

“…Temporal knowledge graph (TKG) reasoning, as an essential research direction in natural language processing, focuses on capturing the dynamic changes in…”
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Dual Neural Network Fusion Model for Chinese Named Entity Recognition by Zhao, Dandan, Cao, Jingxiang, Huang, Degen, Meng, Jiana, Zhang, Pan

“…Chinese named entity recognition (NER) has important effect on natural language processing (NLP) applications. This recognition task is complicated in its…”
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Cross-Domain Text Sentiment Analysis Based on CNN_FT Method by Meng, Jiana, Long, Yingchun, Yu, Yuhai, Zhao, Dandan, Liu, Shuang

“…Transfer learning is one of the popular methods for solving the problem that the models built on the source domain cannot be directly applied to the target…”
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Motion Recurring Pattern Analysis: A Lossless Representation for Motion Capture Databases by Wang, Pengjie, Wang, Jiang, Wei, Xiaoming, Meng, Jiana, Xun, Jing

“…In this paper, we propose the motion recurring pattern analysis (MRPA) method for the lossless representation of a motion database at the segment level instead…”
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Few-shot biomedical relation extraction using data augmentation and domain information by Guo, Bocheng, Zhao, Di, Dong, Xin, Meng, Jiana, Lin, Hongfei

“…Relation extraction (RE) plays a pivotal role in biomedical information extraction. However, traditional approaches are often limited by high data annotation…”
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Self-supervised learning with self-distillation on COVID-19 medical image classification by Tan, Zhiyong, Yu, Yuhai, Meng, Jiana, Liu, Shuang, Li, Wei

“…•Mining valuable representations of data using masked auto-encoder.•Knowledge transfer between different layers using self-distillation.•Combination of masked…”
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Improved relation extraction through key phrase identification using community detection on dependency trees by Liu, Shuang, Chen, Xunqin, Meng, Jiana, Lukač, Niko

“…•Discovering phrases in text by using community detection algorithms on syntax dependency trees.•Enhancing entity and sentence representations with a…”
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Sarcasm detection based on BERT and attention mechanism by Meng, Jiana, Zhu, Yanlin, Sun, Shichang, Zhao, Dandan

“…Sarcasm detection is a challenging task in sentiment analysis and is usually used to detect sarcasm by judging inconsistencies in the individual words of an…”
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TL-med: A Two-stage transfer learning recognition model for medical images of COVID-19 by Meng, Jiana, Tan, Zhiyong, Yu, Yuhai, Wang, Pengjie, Liu, Shuang

“…•We propose a two-stage transfer learning method, which can effectively learn the information between different modal images.•We use Vision Transformer as the…”
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A two-stage feature selection method for text categorization by Meng, Jiana, Lin, Hongfei, Yu, Yuhai

“…Feature selection for text categorization is a well-studied problem and its goal is to improve the effectiveness of categorization, or the efficiency of…”
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Integrating graph convolutional networks to enhance prompt learning for biomedical relation extraction by Guo, Bocheng, Meng, Jiana, Zhao, Di, Jia, Xiangxing, Chu, Yonghe, Lin, Hongfei

“…Biomedical relation extraction aims to reveal the relation between entities in medical texts. Currently, the relation extraction models that have attracted…”
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Biomedical document relation extraction with prompt learning and KNN by Zhao, Di, Yang, Yumeng, Chen, Peng, Meng, Jiana, Sun, Shichang, Wang, Jian, Lin, Hongfei

“…Document-level relation extraction is designed to recognize connections between entities a cross sentences or between sentences. The current mainstream…”
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Transferring variational autoencoders with coarse-and-fine alignment for open set broad classification by Sun, Shichang, Huang, Yongdong, Zhao, Di, Yu, Yuhai, Meng, Jiana

“…Transfer learning aims to help target learners with a different but related source domain. Open set recognition extends the settings of transfer learning for…”
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Improving Approximate Singular Triplets in Lanczos Bidiagonalization Method by Niu, Datian, Meng, Jiana

“…Lanczos bidiagonalization method is the most popular method for computing some largest singular triplets of large matrices. In this method, 2m+ 1 base vectors…”
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Analysis of Researcher Co-authorship Network by Jiana Meng, Jun Guo

“…This work analyzes the co-authorship of science papers published by university teachers, and then constructs are searcher co-authorship network and…”
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Substructural Regularization With Data-Sensitive Granularity for Sequence Transfer Learning by Sun, Shichang, Liu, Hongbo, Meng, Jiana, Chen, C. L. Philip, Yang, Yu

“…Sequence transfer learning is of interest in both academia and industry with the emergence of numerous new text domains from Twitter and other social media…”
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Knowledge transfer based on feature representation mapping for text classification by Meng, Jiana, Lin, Hongfei, Li, Yanpeng

“…► We build a feature representation mapping function. ► We re-weight the source domain the target domain data. ► The distance between the different…”
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A two-stage feature selection method for text categorization by Jiana Meng, Hongfei Lin

“…Feature selection for text classification is a well-studied problem and the goals are improving classification effectiveness, computational efficiency, or…”
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